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All Journal International Journal of Electrical and Computer Engineering JUTI: Jurnal Ilmiah Teknologi Informasi Seminar Nasional Informatika (SEMNASIF) Indonesia Symposium on Computing IJoICT (International Journal on Information and Communication Technology) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Reswara: Jurnal Pengabdian Kepada Masyarakat IJISTECH KLIK: Kajian Ilmiah Informatika dan Komputer eProceedings of Engineering
Yanuar Firdaus Arie Wibowo
Telkom University
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Klasterisasi Data Kompetisi Mahasiswa Menggunakan Algoritma K-Modes Nugroho, Raditya Pradhyatama; Kurniati, Angelina Prima; Wibowo, Yanuar Firdaus Arie
eProceedings of Engineering Vol. 12 No. 3 (2025): Juni 2025
Publisher : eProceedings of Engineering

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Abstract

Kompetisi adalah salah satu aspek penting dalam duniapendidikan. Salah satu fungsi utama partisipasi dalamkompetisi adalah dapat mengukur kemampuan diri. Selainitu, kompetisi juga memiliki berbagai manfaat, yakni dapatmenciptakan inovasi baru dalam pemecahan suatu masalah,memberikan pengalaman baru, dan mengenal/memahamipersaingan antar peserta. Peserta kompetisi di bidangpendidikan, tidak lepas dari dukungan universitas yangmewadahi segala fasilitas dan penunjang dalam aspeklainnya. Untuk lebih mengenal perkembangan kompetisipeserta dalam suatu universitas, diperlukan analisis datayang dapat memberikan gagasan baru. Teknik analisis datayang efektif adalah dengan pendekatan penambangan data,lebih rincinya klasterisasi. Klasterisasi memiliki banyakvariasi algoritma dengan salah satu contohnya K-Modes yangmampu menangani data kategorikal seperti data kompetisi.Sebagai perguruan tinggi dengan peraih prestasi yang cukupbanyak dan menjadi salah satu universitas swasta terbaik diIndonesia, Universitas Telkom menjadi subjek yang menarikuntuk implementasi algoritma K-Modes. Penelitian inibertujuan untuk melakukan klasterisasi K-Modes pada datakompetisi Mahasiswa Universitas Telkom dan ditambahdengan metode Silhouette Score dan Davies-Bouldin Indexuntuk membantu menentukan jumlah klaster yang optimal.Hasil penelitian menunjukkan jumlah klaster optimal adalah13 klaster dengan Silhouette Score bernilai 0,23 (jangkauannilai -1 hingga 1) dan Davies-Bouldin Index bernilai 1,95(jangkauan nilai mulai dari 0 ke bilangan positif).Selanjutnya penelitian ini memberikan visualisasi klasterklaster K-Modes dari perhitungan metode PrincipalComponent Analysis (PCA) dan hasil identifikasi berupainformasi analisis setiap klaster. Kata kunci: Davies-Bouldin Index, K-Modes, Klasterisasi, PCA, Silhouette Score, Universitas Telkom
Analisis Kepuasan Pengguna Terhadap Kualitas Website Upoint.Id Menggunakan Metode Webqual 4.0 Naufal, Nabil Ahmad; Wibowo, Yanuar Firdaus Arie; Achmad, Kusuma Adi
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

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UPoint.ID adalah salah satu website penyedia layanan top up game dan entertainment milik anak perusahaan Telkom Indonesia yaitu PT. Nuon Digital Indonesia. Pada tahun 2020 ditemukan adanya keluhan dari pelanggan yang dituliskan pada forum Google Play terkait pembelian produk yang telah dibayarkan namun produk tersebut tidak diterima oleh pengguna dan pengguna tersebut merasa tidak ada kejelasan dari pihak UPoint.ID terkait hal ini sehingga service interaction quality masih kurang pada UPoint.ID. Tujuan dari penelitian ini ialah mengkaji korelasi antara kinerja UPoint.ID dan kepuasan pengguna website UPoint.ID melalui metode WebQual 4.0 mencakup variabel usability quality, information quality, dan service interaction quality pada website UPoint.ID. Perolehan data penelitian dilakukan dengan kuisioner terhadap 103 responden melalui teknik analisis regresi linear berganda dan SPSS 29 serta pengukuran skala likert. Pengolahan data menghasilkan pemahaman pengguna secara stimutan berdampak positif dan signifikan pada kepuasan pengguna, namun secara parsial dimensi kualitas informasi tidak berdampak signifikan pada kepuasan pengguna sehingga diperlukan adanya peningkatan kembali. Kata Kunci: UPOINT.ID, website, Webqual 4.0, kepuasan pengguna
Redesign E-learning with User Centered Design Method for Improved Accessibility Students Khusnan Hafidz, Harvian; Lukmana Sardi, Indra; Wibowo, Yanuar Firdaus Arie
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1662

Abstract

E-learning is learning with information technology in providing material and interaction between teachers and students. In the application of e-learning must have easy access for students and teachers because it will affect teaching and learning activities. However, in the application of e-learning, there are still difficulties felt by students as has been implemented in MTsN 16 Jakarta. Based on questionnaires and interviews conducted at the beginning of the study which was attended by 30 respondents obtained results where the e-learning used had difficulty in finding assignment forms, task deadlines, and discussion forums by obtaining an SUS score of 42.9. In this case, a redesign is needed to solve the problems perceived by the user. This research uses user-centered design (UCD) in design development because UCD focuses on users to meet user needs and can improve the ease of accessing e-learning based on user needs, in addition to the development of redesign e-learning will take references based on users and e-learning that has been used before. The e-learning redesign prototype will be tested using the System Usability Scale (SUS) followed by 61 respondents. From the test results using SUS got a result of 80,82 which is included in the good and acceptable category. This research also shows that redesigning e-learning using UCD can facilitate access and learning activities carried out by students
JSON-Based RSS as an Alternative to XML-Based RSS on AJAX-Based Aggregator Websites Qori Utama, Dody; Firdaus, Yanuar; Sulistiyo Kusumo, Dana
International Journal on Information and Communication Technology (IJoICT) Vol. 10 No. 2 (2024): Vol.10 No. 2 Dec 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v10i2.1030

Abstract

The rapid development of Internet technology makes information can be exchanged very quickly. RSS was born as one of the technologies that makes it easy to exchange information on the Internet. With RSS, exchanging news on the Internet is even easier than subscribing to a newspaper. RSS was created by utilizing the XML data format which is easy to exchange. Over time, a new data type called JSON was born. JSON is an alternative to XML. Everything XML can do can be done by JSON. JSON has a promising performance compared to XML because JSON has a smaller size than XML. In this final project, the author tries to create a new technology for sharing information by utilizing the JSON data format. In this final project, the author compares user-made technology with existing technology from three things, namely the speed of information creation, data size and data reading speed. The author compares these three things in the author's final project. In the end, the information sharing technology proposed by the author in this final project finally has advantages over existing technologies. This technology is ultimately worthy of continued development as an alternative to existing technologies.
Performance Analysis of BLoC and GetX State Management Library on Flutter Zulistiyan, Mohamad; Adrian, Monterico; Wibowo, Yanuar Firdaus Arie
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4698

Abstract

This research delves into evaluating Flutter's BLoC and GetX state management libraries, focusing on their memory and CPU usage across diverse dataset sizes of 1,000, 5,000, and 10,000 entries. The objective is to identify which library offers better performance efficiency in Flutter application development. Addressing the critical problem of resource optimization, the study uses a comparative analytical approach. Preliminary results indicate GetX's higher memory efficiency with smaller datasets and BLoC's superior CPU efficiency in handling larger datasets. These findings are pivotal for developers in choosing the right library, aligning with the specific performance demands and scalability needs of their applications, thereby ensuring enhanced functionality and user experience. This contributes significantly to the understanding of state management's impact on Flutter app performance, offering a detailed guide for optimal library selection in the ecosystem.
Klasifikasi Tingkat Kualitas Udara DKI Jakarta Berdasarkan Open Government Data Menggunakan Algoritma Random Forest Nugroho, Adityo; Asror, Ibnu; Wibowo, Yanuar Firdaus Arie
eProceedings of Engineering Vol. 10 No. 2 (2023): April 2023
Publisher : eProceedings of Engineering

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Abstract

Abstrak-Kualitas udara pada kota yang memiliki padat penduduk tinggi dengan banyaknya pabrik industri serta padatnya jalan raya oleh kendaraan seperti DKI Jakarta harus diperhatikan kondisinya. Terdapat banyak data yang muncul mengenai kualitas udara di DKI Jakarta yang selalu menurun disebabkan oleh pencemaran udara. Data yang di dapatkan berasal dari website Jakarta Open Data yang menampilkan Indeks Standar Penecamaran Udara (ISPU) pada setiap harinya. Metode yang digunakan yaitu data mining klasifikasi, karena metode tersebut dapat digunakan untuk mengetahui informasi mengenai pencemaran udara berdasarkan pengolahan data parameter yang ada pada ISPU. Klasifikasi yang dilakukan yaitu menggunakan algoritma random forest. Membuat sebuah model uji pada klasifikasi menggunakan random forest bertujuan untuk mencari hasil terbaik. Hasil dari klasifikasi berdasarkan data Indeks Pencemaran Udara di DKI Jakarta memiliki performa terbaik yang menghasilkan akurasi tertinggi yaitu 90%. Pada kategori Sedang memiliki nilai precision 90,9%, recall 89,28% f1-score 90,09%, dan categori Tidak Sehat memiliki nilai precision 89,09%, recall 90,74%, dan f1-score 89,9%.Kata kunci- kualitas udara, klasifikasi, random forest
Co-Authors Adityo Nugroho, Adityo Alya Ghaitsa Rizky Pertiwi Amarilis Putri Yanuarifiani Amarilis Putri Yanuarifiani Andi Novia Rilyani Angelina Prima Kurniati Annas Abdillah Marta Azzahra, Diana Bahamis Ali, Ariqo Sukma Cholid Fauzi Citra Rizki Pratiwi Dana Sulistiyo Kusumo Dawam Dwi Jatmiko Suwawi Dwi Kurnia Putri Eko Darwiyanto Febriyani, Widia Hendri Priyanto Ibnu Asror Jesira Enjeliva Br. Girsang Jiddy Abdillah Khusnan Hafidz, Harvian Kusuma Adi Achmad Laksitowening, Kusuma Ayu Lukmana Sardi , Indra Lukmana Sardi, Indra Mahmud Imrona Monterico Adrian Naufal, Nabil Ahmad Nicodemus Nelwan Nugroho, Raditya Pradhyatama Paramita Mayadewi Qori Utama, Dody Rahmat Firdaus Siti Rahmah Amaliah Siti Sa'adah Sri Astuti Tora Fahrudin ZK Abdurahman Baizal Zulistiyan, Mohamad